LevMuchnik
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README.md
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license: openrail
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---
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---
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license: openrail
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language:
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- he
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tags:
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- legal
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pretty_name: Supreme Court Israel - Public Verdicts and Decisions
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size_categories:
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- 100K<n<1M
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---
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# Dataset Card for Dataset Name
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## Dataset Description
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- **Homepage:**
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- **Repository:**
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- **Paper:**
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- **Leaderboard:**
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- **Point of Contact:**
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Lev Muchnik, [email protected]
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### Dataset Summary
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This dataset represents an end of 2022 snapshot of the Supreme Court of Israel public verdicts and decisions supported by rich metadata. The 5.31GB dataset represents 751,194 documents.
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Overall, the dataset contains 2.68 Gb of text.
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It can be loaded with the dataset package:
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```
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import datasets
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data = datasets.load_dataset('LevMuchnik/SupremeCourtOfIsrael')
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```
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### Supported Tasks and Leaderboards
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[More Information Needed]
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### Languages
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The vast majority of the documents in the database are in Hebrew. A small number of documents are in English.
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## Dataset Structure
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The dataset is a json lines file with each line corresponding to a single document and containing document identification, text and metadata.
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### Data Instances
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[More Information Needed]
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### Data Fields
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The file contains the following fields:
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- case_id - running number for cases
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- Id -
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- CaseId -
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- CaseName - formal name of the case
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- Year -
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- TypeCode - enumeration of the type
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- Type - Document type
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- פסק-דין 84339
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- החלטה 663099
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- צו ביניים 22
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- פסקי דין באנגלית 310
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- צו על תנאי 200
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- צו 2606
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- פד"י 302
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- תקצירים 316
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- SeqNum -
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- document_hash - unique document identifier
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- html_text - clean document text. The original layout (paragraphs,lists, etc.) is preserved.
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- html_title - document title extracted from HTML
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[More Information Needed]
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### Data Splits
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[More Information Needed]
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## Dataset Creation
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### Curation Rationale
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[More Information Needed]
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### Source Data
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#### Initial Data Collection and Normalization
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The data was colleted by crawling the Israeli Supreme Court website.
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#### Who are the source language producers?
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[More Information Needed]
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### Annotations
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#### Annotation process
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[More Information Needed]
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#### Who are the annotators?
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[More Information Needed]
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### Personal and Sensitive Information
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[More Information Needed]
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## Considerations for Using the Data
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### Social Impact of Dataset
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[More Information Needed]
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### Discussion of Biases
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[More Information Needed]
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### Other Known Limitations
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[More Information Needed]
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## Additional Information
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### Dataset Curators
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[More Information Needed]
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### Licensing Information
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[More Information Needed]
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### Citation Information
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[More Information Needed]
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### Contributions
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[More Information Needed]
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